Analyze domain journeys to extract pains, gains, frictions, and product opportunities.
npx skills add https://github.com/Adgmed2018/visa --skill visa-estrategista
Please help me install this Agent Skill. Skill: visa-estrategista Source: https://github.com/Adgmed2018/visa/tree/main/agents/visa-estrategista Command: npx skills add https://github.com/Adgmed2018/visa --skill visa-estrategista
Deep domain analysis that walks journey-by-journey to surface specific pains, expected gains, frictions, critical moments, and product opportunities, acting as the forward-facing mirror to Reversa Archaeologist.
Analyze the journeys listed in .visa/plan.md and produce the corresponding pains, frictions, gains, and opportunities for each journey.
High-intent search queries and answers about installing and using this skill.
Analyzing domain journeys involves walking through each journey to extract specific pains, gains, frictions, and product opportunities. It generates functional, emotional, and social gains for each pain, enabling evidence-based strategic guidance for product decisions.
Evidence-based product strategy uses structured journey artifacts like journey markdown files and a consolidated journeys.json to guide decisions. These deterministic, versioned outputs capture pains, frictions, and opportunities to feed downstream modeling and decision gates.
To generate structured outputs from discovery work, you analyze journeys listed in your plan to produce end-to-end artifacts. This yields journey markdown files, pains and frictions documents, and a consolidated journeys.json containing deterministic, versioned results for downstream decision gates.
Yes, you can analyze journeys identified in a plan file to extract product opportunities. By reading the journeys listed in your context, the analysis produces structured artifacts detailing pains, gains, and frictions without requiring additional dependencies.
The best way to identify critical moments and implicit frictions is through deep journey-by-journey analysis. This approach surfaces specific pains and expected gains, acting as a forward-facing mirror to archaeological discovery work for targeted product opportunities.
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